<?xml version="1.0" encoding="UTF-8"?>
<!--
Objective:
Test pre-processing step converts multiple ordered-set aggs on same column(with
diff order specification) into a NLJ joining GbAgg expression containing ordered
aggs split to gp_percentile on same sorted column with different ordering

CREATE EXTENSION gp_percentile_agg;
SET optimizer_enable_orderedagg=on;
CREATE TABLE foo(a1 int, a2 double precision, a3 interval, a4 timestamp, a5 timestamptz);
EXPLAIN SELECT percentile_cont(0.5) WITHIN GROUP(ORDER BY a2), percentile_cont(0.5) WITHIN GROUP(ORDER BY a2 desc) FROM foo;

                                                      QUERY PLAN
 Sequence  (cost=0.00..2712060345.62 rows=1 width=16)
   ->  Shared Scan (share slice:id 0:0)  (cost=0.00..431.00 rows=1 width=1)
         ->  Materialize  (cost=0.00..431.00 rows=1 width=1)
               ->  Gather Motion 3:1  (slice4; segments: 3)  (cost=0.00..431.00 rows=1 width=16)
                     ->  GroupAggregate  (cost=0.00..431.00 rows=1 width=16)
                           Group Key: foo_1.a2
                           ->  Sort  (cost=0.00..431.00 rows=1 width=8)
                                 Sort Key: foo_1.a2
                                 ->  Redistribute Motion 3:3  (slice3; segments: 3)  (cost=0.00..431.00 rows=1 width=8)
                                       Hash Key: foo_1.a2
                                       ->  Seq Scan on foo foo_1  (cost=0.00..431.00 rows=1 width=8)
   ->  Sequence  (cost=0.00..2712059914.62 rows=1 width=16)
         ->  Shared Scan (share slice:id 0:1)  (cost=0.00..431.00 rows=1 width=1)
               ->  Materialize  (cost=0.00..431.00 rows=1 width=1)
                     ->  Gather Motion 3:1  (slice2; segments: 3)  (cost=0.00..431.00 rows=1 width=16)
                           ->  GroupAggregate  (cost=0.00..431.00 rows=1 width=16)
                                 Group Key: foo.a2
                                 ->  Sort  (cost=0.00..431.00 rows=1 width=8)
                                       Sort Key: foo.a2
                                       ->  Redistribute Motion 3:3  (slice1; segments: 3)  (cost=0.00..431.00 rows=1 width=8)
                                             Hash Key: foo.a2
                                             ->  Seq Scan on foo  (cost=0.00..431.00 rows=1 width=8)
         ->  Nested Loop  (cost=0.00..2712059483.62 rows=1 width=16)
               Join Filter: true
               ->  Aggregate  (cost=0.00..1324032.29 rows=1 width=8)
                     ->  Limit  (cost=0.00..1324032.29 rows=1 width=24)
                           ->  Sort  (cost=0.00..1324032.29 rows=1 width=24)
                                 Sort Key: share0_ref3.a2
                                 ->  Nested Loop  (cost=0.00..1324032.29 rows=1 width=24)
                                       Join Filter: true
                                       ->  Shared Scan (share slice:id 0:0)  (cost=0.00..431.00 rows=1 width=16)
                                       ->  Materialize  (cost=0.00..431.00 rows=1 width=8)
                                             ->  Result  (cost=0.00..431.00 rows=1 width=8)
                                                   ->  Aggregate  (cost=0.00..431.00 rows=1 width=8)
                                                         ->  Shared Scan (share slice:id 0:0)  (cost=0.00..431.00 rows=1 width=8)
               ->  Aggregate  (cost=0.00..1324032.29 rows=1 width=8)
                     ->  Limit  (cost=0.00..1324032.29 rows=1 width=24)
                           ->  Sort  (cost=0.00..1324032.29 rows=1 width=24)
                                 Sort Key: share1_ref3.a2
                                 ->  Nested Loop  (cost=0.00..1324032.29 rows=1 width=24)
                                       Join Filter: true
                                       ->  Shared Scan (share slice:id 0:1)  (cost=0.00..431.00 rows=1 width=16)
                                       ->  Materialize  (cost=0.00..431.00 rows=1 width=8)
                                             ->  Result  (cost=0.00..431.00 rows=1 width=8)
                                                   ->  Aggregate  (cost=0.00..431.00 rows=1 width=8)
                                                         ->  Shared Scan (share slice:id 0:1)  (cost=0.00..431.00 rows=1 width=8)
 Optimizer: Pivotal Optimizer (GPORCA)
(47 rows)
-->
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  <dxl:Thread Id="0">
    <dxl:OptimizerConfig>
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      <dxl:StatisticsConfig DampingFactorFilter="0.750000" DampingFactorJoin="0.000000" DampingFactorGroupBy="0.750000" MaxStatsBuckets="100"/>
      <dxl:CTEConfig CTEInliningCutoff="0"/>
      <dxl:WindowOids RowNumber="3100" Rank="3101"/>
      <dxl:CostModelConfig CostModelType="1" SegmentsForCosting="3">
        <dxl:CostParams>
          <dxl:CostParam Name="NLJFactor" Value="1024.000000" LowerBound="1023.500000" UpperBound="1024.500000"/>
        </dxl:CostParams>
      </dxl:CostModelConfig>
      <dxl:Hint JoinArityForAssociativityCommutativity="18" ArrayExpansionThreshold="100" JoinOrderDynamicProgThreshold="10" BroadcastThreshold="100000" EnforceConstraintsOnDML="false" PushGroupByBelowSetopThreshold="10" XformBindThreshold="0"/>
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    </dxl:OptimizerConfig>
    <dxl:Metadata SystemIds="0.GPDB">
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        <dxl:MinAgg Mdid="0.0.0.0"/>
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        <dxl:MinAgg Mdid="0.2131.1.0"/>
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      <dxl:Type Mdid="0.27.1.0" Name="tid" IsRedistributable="true" IsHashable="true" IsMergeJoinable="true" IsComposite="false" IsTextRelated="false" IsFixedLength="true" Length="6" PassByValue="false">
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